Top Data Analyst Jobs in Bucharest

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Administer and support Planisware PPM systems, ensure data integrity, build automated reports and interactive dashboards (Google Data Studio/SAP Analytics Cloud), develop Excel/Sheets macros, extract/clean project data, and support PMO stakeholders with KPI reporting and documentation.

Coordinates end-to-end data usage requests, helping business teams define needs and validating implementation conditions with legal, compliance, security, and IT stakeholders. Applies data governance standards, monitors KPIs and SLAs, tracks deliverables and budgets, supports reporting, escalates sensitive requests, and improves data usage processes. The role requires strong analytical, communication, project coordination, compliance, and stakeholder management skills, along with fluency in French and English.

Coordinate and prepare materials for awards and Sustainable Finance initiatives: gather, validate, and format ESG data; assess ESG risk ratings and client eligibility; create slide decks, case studies, and tombstones; ensure accuracy, traceability, and timely delivery across multiple stakeholders.

Coordinate end-to-end data collection and consolidation for awards and Sustainable Finance initiatives; prepare and structure application materials and slide decks; collect, validate, and format ESG data per Front Office templates; review ESG risk ratings and assess client eligibility; create case studies and tombstones; maintain accurate, traceable workflows across stakeholders.

Analyzes clinical and operational data to support risk-based quality management and data surveillance. Develops surveillance plans, configures monitoring technologies, evaluates trends and outliers, identifies data quality issues, documents findings, and supports project reviews, meetings, audits, and regulatory inspections. The role requires programming in SAS, R, or SQL, data analysis expertise, familiarity with centralized monitoring and SDTM, and strong communication skills.

Support SEE Growth team by tracking growth KPIs, building and maintaining scalable reports/tools, enabling data access, running ad-hoc analyses, and driving marketing activations from analysis through execution.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Validates, processes, researches, and documents data using queries, sorting, filtering, web research, AI, public sources, and phone outreach. The analyst works with large datasets, identifies defects, verifies data accuracy, and records reproducible issues to support data transformation operations.

Validate migrated and reporting data across source and target systems, with emphasis on SQL-based reconciliation, data quality checks, ETL/ELT validation, discrepancy analysis, and root-cause investigation. Define test scenarios, validate dashboards and KPIs, document defects, and collaborate with Data Engineers and stakeholders. The role also involves testing structured and semi-structured data, profiling datasets, using Python for automation, and supporting modern cloud data-platform delivery.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Serve as the bridge between business stakeholders and data teams by gathering requirements, defining functional specifications, documenting data mappings and transformations, and supporting Databricks data pipeline development. Define business rules, test scenarios, and acceptance criteria; participate in UAT, validate implementations, investigate defects, and ensure data quality and traceability. Facilitate workshops, perform impact and root cause analysis, and support successful production delivery.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Analyzes business and system requirements, assesses feasibility and risks, evaluates impacts on IT environments, and creates functional and non-functional specifications. Supports solution design, development, testing, implementation, and stabilization. Performs functional and gap analysis for application acquisitions and documents requirements. The role focuses on data management solutions, including data warehouses and reporting systems, within financial services, finance, and risk environments.

Manage and improve data governance deployment through KPI automation, dashboard development, tool administration, compliance monitoring, requirements analysis, and data catalog adoption. Build QlikSense and Google Looker reporting, automate data collection with AppScript, administer JIRA and Google Sites, support users, and ensure accurate governance metrics. Coordinate tasks and communicate reporting insights to technical and non-technical stakeholders in a multicultural environment.

Analyzes clinical trial scientific and operational data to support risk-based quality management and centralized monitoring. Develops surveillance plans, configures KRIs and statistical analyses, reviews data for trends and outliers, documents findings, escalates quality issues, and collaborates with global project teams. Presents findings in internal and external meetings, supports regulatory inspections, coordinates follow-up actions, and completes central monitoring reports.

Analyze mobile games data to track performance, design and execute A/B tests, report on user engagement, and recommend optimizations.

Analyze and model data from 20+ countries to support KYC/KYC-related applications (Transaction Monitoring, CDD, Screening). Define data requirements, ensure data quality and governance, support incident fixes, translate regulatory requirements into functional designs, and collaborate across international stakeholders to optimize and automate data processes.

Act as liaison between business/IT stakeholders and the development squad for IPA SDM and TradeStore. Elicit, analyze and translate business and data requirements into user stories/specifications with acceptance criteria. Define data quality rules, support testing and regression automation, investigate defects, present sprint deliveries, maintain documentation, and drive continuous delivery improvements in an Agile environment.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Design, build, and maintain Power BI dashboards and Microsoft Fabric data pipelines. Integrate Dynamics 365 data, ensure data quality and governance, deliver executive insights, forecasting, and strategic analysis. Partner with sales, operations, and finance leaders to translate requirements, promote self-service analytics, and document KPIs and reporting logic.

Lead the billing analytics function: build and maintain billing data pipelines and dashboards, analyze payments/renewals/refunds/disputes, run experiments and forecasting, reduce churn and disputes, and manage/mentor a team of analysts while partnering with Billing, Support, Finance, Product, and Marketing.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

Work with business stakeholders to define and clarify data requirements, create conceptual and logical data models, write specifications for engineers to ingest and structure data into the data lake, design test scenarios and perform functional testing, and maintain metadata (data dictionary). Define data quality, lineage, privacy and security requirements, align with architects on data lake implementation, drive process improvements, and responsibly apply AI tools to streamline tasks.

Work on regulatory reporting implementation within the Financial Tribe: analyze and formalize banking regulatory requirements, model and analyze large datasets in a DWH, write and execute functional test scenarios, support users, assess project impacts, and collaborate using PL/SQL and tools like Jira, HP Quality Center and Confluence.